Computer Vision Engineer - Retail Shelf Monitoring

About the role

Responsibilities

• Improve shelf object detection and out-of-stock recognition
• Analyse failure cases caused by glare, occlusion, and packaging changes
• Work with product and field teams to prioritise impactful model improvements
• Build evaluation workflows tied to operational metrics
• Help maintain data pipelines for new store environments

Requirements

• 4+ years in computer vision or applied perception systems
• Python and NumPy for data work and analysis
• PyTorch for detection and classification model development
• Computer Vision fundamentals including calibration and error analysis
• Docker for reproducible local and deployment environments
• Experience handling edge constraints or noisy image pipelines

Benefits

• $122,000 - $146,000 base salary
• Hybrid in Austin with flexible remote days
• Equity grant and annual bonus
• Access to real pilot environments
• A practical CV problem with direct customer value

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